Akramz
diff --git a/‎.ipynb_checkpoints/03.forward_propagation-checkpoint.ipynb
+1,147 b/‎.ipynb_checkpoints/03.forward_propagation-checkpoint.ipynb
+1,147
diff --git a/‎.ipynb_checkpoints/04.gradient_descent-checkpoint.ipynb
+1,087 b/‎.ipynb_checkpoints/04.gradient_descent-checkpoint.ipynb
+1,087
diff --git a/‎.ipynb_checkpoints/05.Generalizing_GD-checkpoint.ipynb
+751 b/‎.ipynb_checkpoints/05.Generalizing_GD-checkpoint.ipynb
+751
diff --git a/‎.ipynb_checkpoints/06.Back_propagation-checkpoint.ipynb
+1,227 b/‎.ipynb_checkpoints/06.Back_propagation-checkpoint.ipynb
+1,227
diff --git a/‎.ipynb_checkpoints/08.Regularization_Batching-checkpoint.ipynb
+748 b/‎.ipynb_checkpoints/08.Regularization_Batching-checkpoint.ipynb
+748
diff --git a/‎.ipynb_checkpoints/09.Probabilities_Non-Linearities-checkpoint.ipynb
+871 b/‎.ipynb_checkpoints/09.Probabilities_Non-Linearities-checkpoint.ipynb
+871
diff --git a/‎.ipynb_checkpoints/10.Intro_to_CNNs-checkpoint.ipynb
+639 b/‎.ipynb_checkpoints/10.Intro_to_CNNs-checkpoint.ipynb
+639
diff --git a/‎.ipynb_checkpoints/11.NNs_that_Understand_Language-checkpoint.ipynb
+1,592 b/‎.ipynb_checkpoints/11.NNs_that_Understand_Language-checkpoint.ipynb
+1,592
diff --git a/‎.ipynb_checkpoints/12.RNNs-checkpoint.ipynb
+1,409 b/‎.ipynb_checkpoints/12.RNNs-checkpoint.ipynb
+1,409
diff --git a/‎.ipynb_checkpoints/13.DL_framework-checkpoint.ipynb
+2,866 b/‎.ipynb_checkpoints/13.DL_framework-checkpoint.ipynb
+2,866
diff --git a/‎.ipynb_checkpoints/14.LSTMs_LM-checkpoint.ipynb
+1,578 b/‎.ipynb_checkpoints/14.LSTMs_LM-checkpoint.ipynb
+1,578
diff --git a/‎03.forward_propagation.ipynb
+1-7 b/‎03.forward_propagation.ipynb
+1-7
diff --git a/‎04.gradient_descent.ipynb
+1-7 b/‎04.gradient_descent.ipynb
+1-7
diff --git a/‎05.Generalizing_GD.ipynb
+1-7 b/‎05.Generalizing_GD.ipynb
+1-7
diff --git a/‎06.Back_propagation.ipynb
+1-7 b/‎06.Back_propagation.ipynb
+1-7
diff --git a/‎08.Regularization_Batching.ipynb
+2-7 b/‎08.Regularization_Batching.ipynb
+2-7
diff --git a/‎09.Probabilities_Non-Linearities.ipynb
+1-7 b/‎09.Probabilities_Non-Linearities.ipynb
+1-7
diff --git a/‎10.Intro_to_CNNs.ipynb
+1-7 b/‎10.Intro_to_CNNs.ipynb
+1-7
diff --git a/‎11.NNs_that_Understand_Language.ipynb
+1-7 b/‎11.NNs_that_Understand_Language.ipynb
+1-7
diff --git a/‎13.DL_framework.ipynb
+1-7 b/‎13.DL_framework.ipynb
+1-7
diff --git a/‎14.LSTMs_LM.ipynb
+1-7 b/‎14.LSTMs_LM.ipynb
+1-7
@@ -5,13 +5,7 @@
    "metadata": {},
    "source": [
     "# Introduction to Neural Prediction: Forward Propagation\n",
-    "> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "\n",
     "In this chapter, we will:\n",
     "- Create a simple network that makes a prediction.\n",
     "- Understand what exactly is a neural network, and what does it do?\n",
 
@@ -5,13 +5,7 @@
    "metadata": {},
    "source": [
     "# Introduction to Neural Learning: Gradient Descent\n",
-    "> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "\n",
     "In this Chapter, we will:\n",
     "\n",
     "- Check if neural network can make accurate predictions.\n",
 
@@ -5,13 +5,7 @@
    "metadata": {},
    "source": [
     "# Learning Multiple Weights at a Time: Generalizing Gradient Descent\n",
-    "> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "\n",
     "In this chapter, we will:\n",
     "\n",
     "- Implement Gradient Descent with multiple inputs.\n",
 
@@ -5,13 +5,7 @@
    "metadata": {},
    "source": [
     "# Building your first Deep Neural Network: Introduction to Backpropagation\n",
-    "> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "\n",
     "In this Chapter, we will:\n",
     "- Introrduce the Streetlight Problem.\n",
     "- Study matrices and the matrix relationship.\n",
 
@@ -4,13 +4,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Learning Signal & Ignoring Noise: Introduction to Regularization & Batching"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "# Learning Signal & Ignoring Noise: Introduction to Regularization & Batching\n",
+    "\n",
     "In this Chapter, we will:\n",
     "- Learn about overfitting\n",
     "- Study and implement dropout\n",
 
@@ -5,13 +5,7 @@
    "metadata": {},
    "source": [
     "# Modeling Probabilities & Non-Linearities: Activation Functions\n",
-    "> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "\n",
     "In this chapter, we will:\n",
     "\n",
     "- Learn what is an activation function.\n",
 
@@ -5,13 +5,7 @@
    "metadata": {},
    "source": [
     "# Neural Learning about Edges and Corners: Intro to Convolutional Neural Networks\n",
-    "> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "\n",
     "In this chapter, we will:\n",
     "\n",
     "- Re-use network weights in different parts of the input (called weight sharing).\n",
 
@@ -5,13 +5,7 @@
    "metadata": {},
    "source": [
     "# Neural Networks that understand Language: King - Man + Woman == ?\n",
-    "> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "\n",
     "In this chapter, we will:\n",
     "- Introduce Natural Language Processing (NLP)\n",
     "- Define supervised NLP\n",
 
@@ -5,13 +5,7 @@
    "metadata": {},
    "source": [
     "# Introducing Automatic Optimization: Let's build a Deep Learning Framework\n",
-    "> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "\n",
     "In this chapter, we will:\n",
     "- Learn what is a Deep Learning Framework.\n",
     "- Introduce `Tensors`.\n",
 
@@ -5,13 +5,7 @@
    "metadata": {},
    "source": [
     "# Learning to Write like Shakespeare: Long short-term memory\n",
-    "> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "\n",
     "In this chapter, we will:\n",
     "\n",
     "- Implement character language modeling\n",